To foster climate action for a healthy global environment, NVIDIA is working with the United Nations Satellite Centre (UNOSAT) to apply the powers of deep learning and AI.
UNOSAT has developed a module for the Deep Learning Institute’s free online course that covers how to build a deep learning model to automate the detection of flood events.
Called Disaster Risk Monitoring Using Satellite Imagery, it’s the first NVIDIA DLI course focused on climate action for the global public sector community — with many additional climate-action-related courses being planned.
UNOSAT’s module — based on a real UN case study — highlights an example of a flood in Nepal.
In collaboration with NVIDIA, UNOSAT is offering the module for free with the goal of upskilling data scientists worldwide to harness accelerated computing to predict and respond to climate-related disasters.
“We aim to democratize access to accelerated computing to help nations train more accurate deep learning models that better predict and respond to a full spectrum of humanitarian and natural disasters,” Strier said.
Read the full article and get started with the course:
Submitted by Anastasia Zorina
